Each month, I host a live thirty-minute training and question and answer session, valued at $65 each, to review relevant topics in SAS® Programming, SAS® Base and Advanced Certification and the Life Science Research, Medical Devices and Pharmaceutical industries. In 2013, I introduced my five new SAS e-Guides. Hope you can join us with your challenging questions. Any time after the training sessions, feel free to e-mail me your technical questions for a prompt resolution. Schedule is subject to change.

Upcoming events

With the demand of positions in the health-care field, I often get requests for training to enter the clinical programming field. Are you new to clinical programming but do not know where to start and need some structure to learn on your own speed? Get your questions answered no matter has basic it may be.

If so, then this webinar is right for you. From the New Clinical Programmer page, I will review basic study design concepts, data reporting and statistical analysis using basic terminology.

SAS Savvy Premium/University Members attend for free but still need to register. Non SAS Savvy Premium Members must pay $65. It's not too late to upgrade today to attend for free.

Computer and phone connections are required. Webinar will be recorded for on-demand viewing.

In CDISC, the main domains such as DM, AE and LB get all of the attention. What about SUPPXX domains? What exactly are they and how can you create them?

Come explore the world of SUPPXX in this next webinar. I will show the simple technique for creating any SUPPXX domain as well as a Proc Transpose macro that will convert SUPPXX records to SUPPXX variables for easier reviewing of data.

Are you one of the 80% of SAS Programmers who only use Proc COMPARE's common options to compare datasets and not have another technique to display discrepencies between datasets? Often there is a need to compare expected differences such as to confirm new patients, new data or updated data. In addition, Proc COMPARE options to save results in a dataset are cumbersome. Being about to create user-friendly discrepency dataset and excel files make it much easier to share, review and confirm differences.

In this unique webinar, I will show you a PROC COMPARE option that make it so much easier to list all variable differences and values by the ID variable. I am sure you will find a try hidden gem. In addition, I will introduce a new technique to focus on key variables to create an excel file that can filter patients in one or both datasets as well as have an overall match or non-match flag for key variable differences.

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